• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.155.1-155
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• 2001

The main contribution of this research is that it gives:(1) a rational criterion to select the best self-localizing method for a particular situation, and (2) an appropriate arrangement of the landmarks to minimize the error. In this paper, the authors propose a set of indices to evaluate the accuracy of the self-localizing methods, and the indices are derived from a sensitivity which is defined as the ratio of the localizing error to sensor error. And then, we compare the accuracy of self-localizing a mobile robot with landmarks based on the indices, and propose a rational way to minimize the localizing error.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.91.4-91
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• 2001

In this paper, a development of the sensor fusion algorithm for a visual control of mobile robot is presented. The output data from the visual sensor include a time-lag due to the image processing computation. The sampling rate of the visual sensor is considerably low so that it should be used with other sensors to control fast motion. The main purpose of this paper is to develop a method which constitutes a sensor fusion system to give the optimal state estimates. The proposed sensor fusion system combines the visual sensor and inertial sensor using a modified Kalman filter. A kind of multi-rate Kalman filter which treats the slow sampling rate ...

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.147.2-147
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• 2001

In this paper we develop a new robust trajectory tracking control scheme without using joint velocity. The proposed controller doesn´t employ adaptation, Therefore, the construction of the controller becomed very simple. Moreover, by using numerical simulation, we make sure the effectiveness of the proposed controller in the presence of quantization errors.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.84.2-84
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• 2002

$\textbullet$ The dynamic model of a floating human body is derived $\textbullet$ Introduction to impact model for human body $\textbullet$ Analysis of external impulse on the sole $\textbullet$ Analysis of internal impulse at the joints $\textbullet$ It is shown through simulation that the internal impulses for two different configurations

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.62.1-62
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• 2002

$\textbullet$ INTRODUCTION $\textbullet$ MATHEMATICAL MODEL OF EXCAVATOR $\textbullet$ H_INF CONTROLLER BASED ON DISTURBANCE OBSERVER $\textbullet$ SIMULATION RESULTS $\textbullet$ CONCLUSION

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.85.4-85
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• 2002

$\textbullet$ Flying Robot is a kind of UAV as an autonomous hovering platform. $\textbullet$ Control system is high complex, and non-linear Multiple-Input, Multiple-Output (MIMO) system. $\textbullet$ Eexperiment-device capable of measuring roll, yaw and pitch angle with PID controller by PC. $\textbullet$ This paper proves results of simulation through velocity control in condition.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.43.6-43
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• 2002

$\textbullet$ KAEROT/m1 with an omni-directional planetary wheel mechanism for the narrow corridor. $\textbullet$ KAEROT/m2 can pass over the ditch with specially designed four wheel of a re-configurable crawler. $\textbullet$ Stereo imaging system with master manipulator enhancing the tele-presence. $\textbullet$ Small hybrid dosimeter detecting radiation dose and dose rate simultaneously.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.36.6-36
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• 2002

$\textbullet$ Human motion consists of continual impact with environment $\textbullet$ External impulse model of kicking motion $\textbullet$ Models of aerodynamic forces $\textbullet$ Analysis of external impulse according to posture $\textbullet$ Simulation of a soccer ball trajectory

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.78.6-78
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• 2002

$\textbullet$ The Gifu Hand III is a 5-fingered hand driven by built-in servomotors and has 20 joints with 10 DOF. $\textbullet$ The backlash of transmission, the mobility space, and the opposability of the thumb are improved. $\textbullet$ The new distributed tactile sensor with 859 detecting points is mounted on the hand surface. $\textbullet$ Experiments of grasping objects by a grasping strategy imitating human grasping reflex are shown.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.81.3-81
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• 2002

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 EMG Signals and Measurement $\textbullet$ Contents 3 Intelligent Algorithm $\textbullet$ Contents 4 Improved LVQ $\textbullet$ Contents 5 Experiment $\textbullet$ Contents 6 Conclusion